What does the future of "AI automation" look like for marketing? Is it building individual workflows node-by-node in n8n? Or is it just hooking up Claude to all your tools and prompting it to just do things in plain English? Or is it a mix of both? Anthropic is quietly adding a ton of AI automation features to Claude that have the potential to make n8n workflows look ... stuck in the past. Here is an Apify scraper plugged into Claude via MCP .. ... just casually scraping the latest tweets on the Windsurf saga ... ... that have at least 100 likes. And summarizing the output for me. All inside of chat.

Hi all, what is the standard method in n8n to 'remember' items that have already been processed? My workflow runs on a schedule to fetch the latest item, but I only want to trigger an action the very first time an item is seen to avoid sending duplicate notifications. Thanks!

My current AI automation & AI agent stack. Anything I'm missing out on? Workflow engine: - n8n (everything runs through here) Front-end interface: - Lovable - Bolt Backend database: - Airtable - Google Sheets Web scraping: - Apify - Firecrawl Communications: - Slack - Telegram Secret weapon: - Code Node (ChatGPT handles these) Troubleshooting: - Claude 4.0 - ChatGPT o3

Building out anything cool in n8n?

In this video, I'll show you how to build an AI agent that automatically researches top-performing LinkedIn content in your niche, giving you a complete competitive intelligence system. Most marketers spend hours manually analyzing what's working on LinkedIn, but I've created an automated solution that delivers weekly insights directly to your inbox and Slack. What you'll learn: -- Set up a scheduled n8n workflow that runs weekly -- Configure Google Sheets to manage your target LinkedIn profiles -- Use Apify scrapers to extract LinkedIn posts and engagement metrics -- Build AI prompts that analyze content themes and performance patterns -- Automatically generate detailed reports with engagement insights -- Deliver actionable recommendations via Slack and Gmail I'll walk you through the complete n8n automation, from the initial Google Sheets setup to the final AI analysis and reporting system. You'll see how this agent pulls recent content from your chosen LinkedIn influencers, analyzes their engagement metrics (likes, comments, reposts), identifies the highest-performing content themes, and explains why certain topics resonate with their audiences. The system generates comprehensive weekly reports that include: Executive summaries of each creator's content strategy Key engagement drivers and successful content patterns Specific recommendations you can implement in your own LinkedIn strategy Performance metrics and trend analysis This is perfect for marketing teams, content creators, or anyone looking to grow their LinkedIn presence by understanding what actually works in their industry. I'll show you the exact setup process, including how to handle the code nodes (with ChatGPT's help) and configure all the integrations.